Abstract: This study proposes a data-driven framework for intelligent engine monitoring through the integration of Least Squares Support Vector Regression (LS-SVR) and variable-bandwidth kernel ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Conclusions: The large-scale epidemiological data mining reveals previously unrecognized patterns through three innovations: (1) quantifying variant evolutionary fitness with transmission thresholds, ...

Healthcare Architect. Develop applications in C#.Net. Java , Python ,Typescript & SQL in both cloud native and on Prem servers. Healthcare Architect. Develop applications in C#.Net. Java , Python ...

A security flaw in the widely-used Apache Tika XML document extraction utility, originally made public last summer, is wider in scope and more serious than first thought, the project’s maintainers ...

Introduction: Cellular machinery is built upon proteins and their functional interrelationships. Their network evaluation is essential for a comprehensive insight into biological processes and may ...

Energy-Fuel Technology and Applied Material Research Group, Dong Nai Technology University, Dong Nai 76000, Vietnam Faculty of Engineering, Dong Nai Technology University, Dong Nai 76000, Vietnam ...

The article which is a review of relevant literature from 2020 to 2024, explores the integrated application of Artificial Intelligence (AI) and Building Information Modeling (BIM) in a construction ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

Section of Cardiovascular Medicine, Department of Internal Medicine (A.F.P., R.K.), Yale School of Medicine, New Haven. Cardiovascular Data Science (CarDS) Lab (A.F.P ...